{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hipparcos Luminosity Class Classifier with KNN, SVC and Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Python 3.6.4 :: Anaconda, Inc.\n"
     ]
    }
   ],
   "source": [
    "!python --version"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data acquisition and cleaning techniques were derived from Eduardo Martín Calleja's \n",
    "\n",
    "Construction of Hertzsprung-Russell diagrams in Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Main Reference: http://balbuceosastropy.blogspot.com/2014/03/construction-of-hertzsprung-russell.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import hipparcos.tsv file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>118318</th>\n",
       "      <td>6.99</td>\n",
       "      <td>1.92</td>\n",
       "      <td>1.595</td>\n",
       "      <td>K2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118319</th>\n",
       "      <td>8.23</td>\n",
       "      <td>10.63</td>\n",
       "      <td>0.639</td>\n",
       "      <td>G2V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118320</th>\n",
       "      <td>7.59</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.999</td>\n",
       "      <td>K0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118321</th>\n",
       "      <td>9.20</td>\n",
       "      <td>19.22</td>\n",
       "      <td>0.698</td>\n",
       "      <td>G5V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118322</th>\n",
       "      <td>4.49</td>\n",
       "      <td>8.71</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>B9IV</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Vmag      Plx      CI SpType\n",
       "HIP                                  \n",
       "118318   6.99     1.92   1.595     K2\n",
       "118319   8.23    10.63   0.639    G2V\n",
       "118320   7.59     5.00   0.999     K0\n",
       "118321   9.20    19.22   0.698    G5V\n",
       "118322   4.49     8.71  -0.075   B9IV"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_table('hipparcos.tsv', skiprows=44, sep=';', header=None, index_col=0,\n",
    "                   names = ['HIP', 'Vmag', 'Plx', 'CI', 'SpType'],\n",
    "                   skipfooter=1, engine='python')\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check for spaces, convert them to nan and remove."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>118218</td>\n",
       "      <td>118218</td>\n",
       "      <td>118218</td>\n",
       "      <td>115184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>1127</td>\n",
       "      <td>5617</td>\n",
       "      <td>2437</td>\n",
       "      <td>4124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>8.69</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>K0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>504</td>\n",
       "      <td>263</td>\n",
       "      <td>1281</td>\n",
       "      <td>8570</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Vmag      Plx      CI  SpType\n",
       "count   118218   118218  118218  115184\n",
       "unique    1127     5617    2437    4124\n",
       "top       8.69                       K0\n",
       "freq       504      263    1281    8570"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>118217</td>\n",
       "      <td>117955</td>\n",
       "      <td>116937</td>\n",
       "      <td>115184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>1126</td>\n",
       "      <td>5616</td>\n",
       "      <td>2436</td>\n",
       "      <td>4124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>8.69</td>\n",
       "      <td>2.93</td>\n",
       "      <td>1.000</td>\n",
       "      <td>K0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>504</td>\n",
       "      <td>183</td>\n",
       "      <td>317</td>\n",
       "      <td>8570</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Vmag      Plx      CI  SpType\n",
       "count   118217   117955  116937  115184\n",
       "unique    1126     5616    2436    4124\n",
       "top       8.69     2.93   1.000      K0\n",
       "freq       504      183     317    8570"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.applymap(lambda x: np.nan if isinstance(x, str)\n",
    "                       and x.isspace() else x)\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove the other nan values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>114472</td>\n",
       "      <td>114472</td>\n",
       "      <td>114472</td>\n",
       "      <td>114472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>1072</td>\n",
       "      <td>5361</td>\n",
       "      <td>2426</td>\n",
       "      <td>4070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>8.69</td>\n",
       "      <td>2.93</td>\n",
       "      <td>1.000</td>\n",
       "      <td>K0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>502</td>\n",
       "      <td>182</td>\n",
       "      <td>308</td>\n",
       "      <td>8537</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Vmag      Plx      CI  SpType\n",
       "count   114472   114472  114472  114472\n",
       "unique    1072     5361    2426    4070\n",
       "top       8.69     2.93   1.000      K0\n",
       "freq       502      182     308    8537"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.dropna()\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(114472, 4)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert the ff. to float."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 114472 entries, 1 to 118322\n",
      "Data columns (total 4 columns):\n",
      "Vmag      114472 non-null float64\n",
      "Plx       114472 non-null float64\n",
      "CI        114472 non-null float64\n",
      "SpType    114472 non-null object\n",
      "dtypes: float64(3), object(1)\n",
      "memory usage: 4.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df['Vmag'] = df['Vmag'].astype(np.float)\n",
    "df['Plx'] = df['Plx'].astype(np.float)\n",
    "df['CI'] = df['CI'].astype(np.float)\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add absmag column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\LLagman\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: RuntimeWarning: divide by zero encountered in log10\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "C:\\Users\\LLagman\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: RuntimeWarning: invalid value encountered in log10\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df['Absmag'] = df['Vmag'] + 5 * np.log10(df['Plx']/100.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>Absmag</th>\n",
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       "      <th>count</th>\n",
       "      <td>114472.000000</td>\n",
       "      <td>114472.000000</td>\n",
       "      <td>114472.000000</td>\n",
       "      <td>1.107700e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.297756</td>\n",
       "      <td>7.105059</td>\n",
       "      <td>0.702421</td>\n",
       "      <td>-inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.248646</td>\n",
       "      <td>11.063782</td>\n",
       "      <td>0.490229</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1.440000</td>\n",
       "      <td>-35.100000</td>\n",
       "      <td>-0.400000</td>\n",
       "      <td>-inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.610000</td>\n",
       "      <td>2.520000</td>\n",
       "      <td>0.341000</td>\n",
       "      <td>2.576435e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.400000</td>\n",
       "      <td>4.580000</td>\n",
       "      <td>0.605000</td>\n",
       "      <td>1.504575e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.070000</td>\n",
       "      <td>8.260000</td>\n",
       "      <td>1.075000</td>\n",
       "      <td>3.050985e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>13.610000</td>\n",
       "      <td>772.330000</td>\n",
       "      <td>5.460000</td>\n",
       "      <td>1.544901e+01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Vmag            Plx             CI        Absmag\n",
       "count  114472.000000  114472.000000  114472.000000  1.107700e+05\n",
       "mean        8.297756       7.105059       0.702421          -inf\n",
       "std         1.248646      11.063782       0.490229           NaN\n",
       "min        -1.440000     -35.100000      -0.400000          -inf\n",
       "25%         7.610000       2.520000       0.341000  2.576435e-01\n",
       "50%         8.400000       4.580000       0.605000  1.504575e+00\n",
       "75%         9.070000       8.260000       1.075000  3.050985e+00\n",
       "max        13.610000     772.330000       5.460000  1.544901e+01"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert negative infinities to nan then remove them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>Absmag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>110726.000000</td>\n",
       "      <td>110726.000000</td>\n",
       "      <td>110726.000000</td>\n",
       "      <td>110726.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.268266</td>\n",
       "      <td>7.386535</td>\n",
       "      <td>0.697777</td>\n",
       "      <td>1.601420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.243306</td>\n",
       "      <td>11.133374</td>\n",
       "      <td>0.483801</td>\n",
       "      <td>2.329619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1.440000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>-0.400000</td>\n",
       "      <td>-13.310000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.590000</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>0.344000</td>\n",
       "      <td>0.259416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.380000</td>\n",
       "      <td>4.740000</td>\n",
       "      <td>0.602000</td>\n",
       "      <td>1.505791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.050000</td>\n",
       "      <td>8.460000</td>\n",
       "      <td>1.068000</td>\n",
       "      <td>3.051987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>13.110000</td>\n",
       "      <td>772.330000</td>\n",
       "      <td>5.460000</td>\n",
       "      <td>15.449015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Vmag            Plx             CI         Absmag\n",
       "count  110726.000000  110726.000000  110726.000000  110726.000000\n",
       "mean        8.268266       7.386535       0.697777       1.601420\n",
       "std         1.243306      11.133374       0.483801       2.329619\n",
       "min        -1.440000       0.010000      -0.400000     -13.310000\n",
       "25%         7.590000       2.700000       0.344000       0.259416\n",
       "50%         8.380000       4.740000       0.602000       1.505791\n",
       "75%         9.050000       8.460000       1.068000       3.051987\n",
       "max        13.110000     772.330000       5.460000      15.449015"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.replace([-np.inf], np.nan).dropna()\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 110726 entries, 1 to 118322\n",
      "Data columns (total 5 columns):\n",
      "Vmag      110726 non-null float64\n",
      "Plx       110726 non-null float64\n",
      "CI        110726 non-null float64\n",
      "SpType    110726 non-null object\n",
      "Absmag    110726 non-null float64\n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 5.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make a simple HR Diagram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2471972e48>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2471963438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['CI'],df['Absmag'],marker='.',s=1.5, linewidth=0, c=df['CI'],cmap='RdBu_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16.88851420488482, -5.25)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2471965748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "ax.scatter(df['CI'],df['Absmag'],marker='.',s=1.5, linewidth=0, c=df['CI'],cmap='RdBu_r')\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlim(xmax = 2.25)\n",
    "ax.set_ylim(ymax=-5.25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Color would depend on Color Index Values, then apply cmap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2471974b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(10, 12),facecolor='black')\n",
    "\n",
    "ax.scatter(df['CI'],df['Absmag'],marker='.',s=1.5, linewidth=0, c=df['CI'],cmap='RdBu_r')\n",
    "\n",
    "ax.set_facecolor('black')\n",
    "ax.spines['left'].set_color('white')\n",
    "ax.spines['right'].set_color('white')\n",
    "ax.spines['top'].set_color('white')\n",
    "ax.spines['bottom'].set_color('white')\n",
    "\n",
    "ax.set_title('Hertzsprung-Russell Diagram Hipparcos', color='white', fontsize=15)\n",
    "ax.set_xlabel('Color Index (B-V)', color='white')\n",
    "ax.set_ylabel('Absolute Magnitude', color='white')\n",
    "\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlim(xmax = 2.25)\n",
    "ax.set_ylim(ymax=-5.25)\n",
    "ax.tick_params(colors='white')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Exclude very faint stars by limiting Color Index values to less than 2 so that the cmap would be properly applied."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x24719aaa58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(10, 12),facecolor='black')\n",
    "\n",
    "ax.scatter(df.query('CI < 2')['CI'], \n",
    "           df.query('CI < 2')['Absmag'], \n",
    "           marker='.', \n",
    "           s=1.5, \n",
    "           linewidth=0, \n",
    "           c=df.query('CI < 2')['CI'], \n",
    "           cmap='RdBu_r')\n",
    "\n",
    "ax.set_facecolor('black')\n",
    "ax.spines['left'].set_color('white')\n",
    "ax.spines['right'].set_color('white')\n",
    "ax.spines['top'].set_color('white')\n",
    "ax.spines['bottom'].set_color('white')\n",
    "\n",
    "ax.set_title('Hertzsprung-Russell Diagram Hipparcos', color='white', fontsize=15)\n",
    "ax.set_xlabel('Color Index (B-V)', color='white')\n",
    "ax.set_ylabel('Absolute Magnitude', color='white')\n",
    "\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlim(xmax = 2.25)\n",
    "ax.set_ylim(ymax=-5.25)\n",
    "ax.tick_params(colors='white')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check Luminosity classes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Class VII: white dwarfs, there are 2 stars\n",
      "Class VI: subdwarfs, there are 16 stars\n",
      "Class V: main-sequence, there are 24373 stars\n",
      "Class IV: subgiants, there are 7799 stars\n",
      "Class III: giants, there are 21846 stars\n",
      "Class II:  bright giants, there are 1163 stars\n",
      "Class I: supergiants, there are 755 stars\n",
      "Total: 55954 stars\n"
     ]
    }
   ],
   "source": [
    "a = df['SpType'].map(lambda s: 'VII' in s)\n",
    "print (\"Class VII: white dwarfs, there are %d stars\" %sum(a))\n",
    "\n",
    "b = df['SpType'].map(lambda s: ('VI' in s) and ('VII' not in s))\n",
    "print (\"Class VI: subdwarfs, there are %d stars\" %sum(b))\n",
    "\n",
    "c = df['SpType'].map(lambda s: ('V' in s) and ('VI' not in s) and ('IV' not in s))\n",
    "print (\"Class V: main-sequence, there are %d stars\" %sum(c))\n",
    "\n",
    "d = df['SpType'].map(lambda s: 'IV' in s)\n",
    "print (\"Class IV: subgiants, there are %d stars\" %sum(d))\n",
    "\n",
    "e = df['SpType'].map(lambda s: 'III' in s)\n",
    "print (\"Class III: giants, there are %d stars\" %sum(e))\n",
    "\n",
    "f = df['SpType'].map(lambda s: ('II' in s) and ('III' not in s) and ('VII' not in s))\n",
    "print (\"Class II:  bright giants, there are %d stars\" %sum(f))\n",
    "\n",
    "g = df['SpType'].map(lambda s: ('I' in s) and ('II' not in s) and ('V' not in s))\n",
    "print (\"Class I: supergiants, there are %d stars\" %sum(g))\n",
    "\n",
    "print (\"Total: %d stars\" %(sum(a)+sum(b)+sum(c)+sum(d)+sum(e)+sum(f)+sum(g)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# KNN, SVC and Decision Tree Classifier"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LumClass Filter I"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create test df from df."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = df.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try extracting the Roman numerals only, then create LumClass column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "V      24381\n",
       "III    21169\n",
       "IV      6282\n",
       "II      1663\n",
       "I        923\n",
       "VII        2\n",
       "Name: LumClass, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['LumClass'] = test['SpType'].str.extract('([IV|V?I$]{1,3})', expand=True)\n",
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check total number of stars with luminosity classes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54420"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['LumClass'].value_counts().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "      <th>Absmag</th>\n",
       "      <th>LumClass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9.10</td>\n",
       "      <td>3.54</td>\n",
       "      <td>0.482</td>\n",
       "      <td>F5</td>\n",
       "      <td>1.845016</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9.27</td>\n",
       "      <td>21.90</td>\n",
       "      <td>0.999</td>\n",
       "      <td>K3V</td>\n",
       "      <td>5.972221</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6.61</td>\n",
       "      <td>2.81</td>\n",
       "      <td>-0.019</td>\n",
       "      <td>B9</td>\n",
       "      <td>-1.146468</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.06</td>\n",
       "      <td>7.75</td>\n",
       "      <td>0.370</td>\n",
       "      <td>F0V</td>\n",
       "      <td>2.506509</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8.55</td>\n",
       "      <td>2.87</td>\n",
       "      <td>0.902</td>\n",
       "      <td>G8III</td>\n",
       "      <td>0.839409</td>\n",
       "      <td>III</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Vmag    Plx     CI SpType    Absmag LumClass\n",
       "HIP                                              \n",
       "1    9.10   3.54  0.482     F5  1.845016      NaN\n",
       "2    9.27  21.90  0.999    K3V  5.972221        V\n",
       "3    6.61   2.81 -0.019     B9 -1.146468      NaN\n",
       "4    8.06   7.75  0.370    F0V  2.506509        V\n",
       "5    8.55   2.87  0.902  G8III  0.839409      III"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "View info of first 5 stars per luminosity class ordered by HIP number."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "      <th>Absmag</th>\n",
       "      <th>LumClass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45266</th>\n",
       "      <td>10.19</td>\n",
       "      <td>4.11</td>\n",
       "      <td>2.570</td>\n",
       "      <td>CVIIe</td>\n",
       "      <td>3.259209</td>\n",
       "      <td>VII</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77982</th>\n",
       "      <td>5.11</td>\n",
       "      <td>1.09</td>\n",
       "      <td>1.108</td>\n",
       "      <td>G6VII</td>\n",
       "      <td>-4.702868</td>\n",
       "      <td>VII</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Vmag   Plx     CI SpType    Absmag LumClass\n",
       "HIP                                                \n",
       "45266  10.19  4.11  2.570  CVIIe  3.259209      VII\n",
       "77982   5.11  1.09  1.108  G6VII -4.702868      VII"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['LumClass']=='VII'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "      <th>Absmag</th>\n",
       "      <th>LumClass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
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      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Vmag, Plx, CI, SpType, Absmag, LumClass]\n",
       "Index: []"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['LumClass']=='VI'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "      <th>Absmag</th>\n",
       "      <th>LumClass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9.27</td>\n",
       "      <td>21.90</td>\n",
       "      <td>0.999</td>\n",
       "      <td>K3V</td>\n",
       "      <td>5.972221</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.06</td>\n",
       "      <td>7.75</td>\n",
       "      <td>0.370</td>\n",
       "      <td>F0V</td>\n",
       "      <td>2.506509</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12.31</td>\n",
       "      <td>18.80</td>\n",
       "      <td>1.336</td>\n",
       "      <td>M0V:</td>\n",
       "      <td>8.680789</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>8.59</td>\n",
       "      <td>10.76</td>\n",
       "      <td>0.489</td>\n",
       "      <td>F6V</td>\n",
       "      <td>3.749061</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>8.15</td>\n",
       "      <td>6.15</td>\n",
       "      <td>0.425</td>\n",
       "      <td>F3V</td>\n",
       "      <td>2.094376</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Vmag    Plx     CI SpType    Absmag LumClass\n",
       "HIP                                               \n",
       "2     9.27  21.90  0.999    K3V  5.972221        V\n",
       "4     8.06   7.75  0.370    F0V  2.506509        V\n",
       "6    12.31  18.80  1.336   M0V:  8.680789        V\n",
       "10    8.59  10.76  0.489    F6V  3.749061        V\n",
       "17    8.15   6.15  0.425    F3V  2.094376        V"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['LumClass']=='V'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "      <th>Absmag</th>\n",
       "      <th>LumClass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6.28</td>\n",
       "      <td>13.74</td>\n",
       "      <td>0.763</td>\n",
       "      <td>G3IV</td>\n",
       "      <td>1.969934</td>\n",
       "      <td>IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>6.43</td>\n",
       "      <td>12.71</td>\n",
       "      <td>0.514</td>\n",
       "      <td>F7.5IV-V</td>\n",
       "      <td>1.950728</td>\n",
       "      <td>IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>6.49</td>\n",
       "      <td>16.89</td>\n",
       "      <td>0.616</td>\n",
       "      <td>G1IV</td>\n",
       "      <td>2.628148</td>\n",
       "      <td>IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>7.40</td>\n",
       "      <td>14.66</td>\n",
       "      <td>0.551</td>\n",
       "      <td>G2IV/V</td>\n",
       "      <td>3.230670</td>\n",
       "      <td>IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>8.34</td>\n",
       "      <td>6.18</td>\n",
       "      <td>0.386</td>\n",
       "      <td>F2IV</td>\n",
       "      <td>2.294942</td>\n",
       "      <td>IV</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Vmag    Plx     CI    SpType    Absmag LumClass\n",
       "HIP                                                 \n",
       "25   6.28  13.74  0.763      G3IV  1.969934       IV\n",
       "34   6.43  12.71  0.514  F7.5IV-V  1.950728       IV\n",
       "50   6.49  16.89  0.616      G1IV  2.628148       IV\n",
       "55   7.40  14.66  0.551    G2IV/V  3.230670       IV\n",
       "60   8.34   6.18  0.386      F2IV  2.294942       IV"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['LumClass']=='IV'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
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       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8.55</td>\n",
       "      <td>2.87</td>\n",
       "      <td>0.902</td>\n",
       "      <td>G8III</td>\n",
       "      <td>0.839409</td>\n",
       "      <td>III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>8.43</td>\n",
       "      <td>4.06</td>\n",
       "      <td>1.484</td>\n",
       "      <td>K4III</td>\n",
       "      <td>1.472630</td>\n",
       "      <td>III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>8.80</td>\n",
       "      <td>3.49</td>\n",
       "      <td>1.128</td>\n",
       "      <td>K0III</td>\n",
       "      <td>1.514127</td>\n",
       "      <td>III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8.69</td>\n",
       "      <td>4.47</td>\n",
       "      <td>0.962</td>\n",
       "      <td>G8/K0III/IV</td>\n",
       "      <td>1.941538</td>\n",
       "      <td>III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>9.14</td>\n",
       "      <td>2.85</td>\n",
       "      <td>1.041</td>\n",
       "      <td>G8III</td>\n",
       "      <td>1.414224</td>\n",
       "      <td>III</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Vmag   Plx     CI       SpType    Absmag LumClass\n",
       "HIP                                                   \n",
       "5    8.55  2.87  0.902        G8III  0.839409      III\n",
       "12   8.43  4.06  1.484        K4III  1.472630      III\n",
       "13   8.80  3.49  1.128        K0III  1.514127      III\n",
       "22   8.69  4.47  0.962  G8/K0III/IV  1.941538      III\n",
       "29   9.14  2.85  1.041        G8III  1.414224      III"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['LumClass']=='III'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Vmag</th>\n",
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       "      <th>106</th>\n",
       "      <td>6.22</td>\n",
       "      <td>4.50</td>\n",
       "      <td>0.970</td>\n",
       "      <td>G7II-III</td>\n",
       "      <td>-0.513937</td>\n",
       "      <td>II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>8.53</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.315</td>\n",
       "      <td>K3II/III</td>\n",
       "      <td>-4.084394</td>\n",
       "      <td>II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>8.86</td>\n",
       "      <td>3.89</td>\n",
       "      <td>1.035</td>\n",
       "      <td>G9II-III</td>\n",
       "      <td>1.809748</td>\n",
       "      <td>II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>8.12</td>\n",
       "      <td>2.15</td>\n",
       "      <td>2.530</td>\n",
       "      <td>C5II</td>\n",
       "      <td>-0.217808</td>\n",
       "      <td>II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>6.47</td>\n",
       "      <td>7.63</td>\n",
       "      <td>0.946</td>\n",
       "      <td>G8II</td>\n",
       "      <td>0.882623</td>\n",
       "      <td>II</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Vmag   Plx     CI    SpType    Absmag LumClass\n",
       "HIP                                                \n",
       "106  6.22  4.50  0.970  G7II-III -0.513937       II\n",
       "108  8.53  0.30  1.315  K3II/III -4.084394       II\n",
       "174  8.86  3.89  1.035  G9II-III  1.809748       II\n",
       "363  8.12  2.15  2.530      C5II -0.217808       II\n",
       "410  6.47  7.63  0.946      G8II  0.882623       II"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['LumClass']=='II'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
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       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>6.24</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.332</td>\n",
       "      <td>B3Ia</td>\n",
       "      <td>-3.917585</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>4.99</td>\n",
       "      <td>2.03</td>\n",
       "      <td>1.619</td>\n",
       "      <td>K3Ibvar</td>\n",
       "      <td>-3.472520</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>9.42</td>\n",
       "      <td>4.76</td>\n",
       "      <td>1.565</td>\n",
       "      <td>M1Ibpev comp</td>\n",
       "      <td>2.808035</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>7.06</td>\n",
       "      <td>1.15</td>\n",
       "      <td>0.630</td>\n",
       "      <td>F5Ib-II</td>\n",
       "      <td>-2.636511</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1039</th>\n",
       "      <td>7.94</td>\n",
       "      <td>0.92</td>\n",
       "      <td>0.501</td>\n",
       "      <td>A9Iab:</td>\n",
       "      <td>-2.241061</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Vmag   Plx     CI        SpType    Absmag LumClass\n",
       "HIP                                                     \n",
       "274   6.24  0.93  0.332          B3Ia -3.917585        I\n",
       "355   4.99  2.03  1.619       K3Ibvar -3.472520        I\n",
       "779   9.42  4.76  1.565  M1Ibpev comp  2.808035        I\n",
       "951   7.06  1.15  0.630       F5Ib-II -2.636511        I\n",
       "1039  7.94  0.92  0.501        A9Iab: -2.241061        I"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['LumClass']=='I'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Drop rows with NaN values and the SpType column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 54420 entries, 2 to 118322\n",
      "Data columns (total 5 columns):\n",
      "Vmag        54420 non-null float64\n",
      "Plx         54420 non-null float64\n",
      "CI          54420 non-null float64\n",
      "Absmag      54420 non-null float64\n",
      "LumClass    54420 non-null object\n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 2.5+ MB\n"
     ]
    }
   ],
   "source": [
    "test = test.dropna().drop('SpType', axis=1)\n",
    "test.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert Roman numerals to Hindu-Arabic in order to make the test df machine-ready."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    24381\n",
       "3    21169\n",
       "4     6282\n",
       "2     1663\n",
       "1      923\n",
       "7        2\n",
       "Name: LumClass, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['LumClass'] = test['LumClass'].replace(['I','II','III','IV','V','VI','VII'],\n",
    "                     [1,2,3,4,5,6,7])\n",
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 54420 entries, 2 to 118322\n",
      "Data columns (total 5 columns):\n",
      "Vmag        54420 non-null float64\n",
      "Plx         54420 non-null float64\n",
      "CI          54420 non-null float64\n",
      "Absmag      54420 non-null float64\n",
      "LumClass    54420 non-null int64\n",
      "dtypes: float64(4), int64(1)\n",
      "memory usage: 2.5 MB\n"
     ]
    }
   ],
   "source": [
    "test.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Preprocess with StandardScaler."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(test.drop('LumClass',axis=1))\n",
    "scaled_features = scaler.transform(test.drop('LumClass',axis=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Train test split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(scaled_features,test['LumClass'],\n",
    "                                                    test_size=0.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN with n_neighbors = 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try with n_neighbors = 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "           metric_params=None, n_jobs=1, n_neighbors=1, p=2,\n",
       "           weights='uniform')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "knn = KNeighborsClassifier(n_neighbors=1)\n",
    "knn.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Predict and determine accuracy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 67.80595369349504%\n"
     ]
    }
   ],
   "source": [
    "pred = knn.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN with optimal n_neighbors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Elbow method: determine n_neighbors that results to the least number of errors. Try with n_neighbors from 1 to 100."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "error_rate = []\n",
    "\n",
    "for i in range(1,100):\n",
    "    \n",
    "    knn = KNeighborsClassifier(n_neighbors=i)\n",
    "    knn.fit(X_train,y_train)\n",
    "    pred_i = knn.predict(X_test)\n",
    "    error_rate.append(np.mean(pred_i != y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.22436604189636164"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(error_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "47"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_rate.index(min(error_rate))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "48"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range(1,100)[error_rate.index(min(error_rate))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create simple line graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Error Rate')"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2471cac358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=range(1,100)\n",
    "y=error_rate\n",
    "\n",
    "plt.plot(x,y)\n",
    "plt.title('Error Rate vs. K Value')\n",
    "plt.xlabel('K')\n",
    "plt.ylabel('Error Rate')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find the best n_neighbors then re-run with it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "48"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x[y.index(min(y))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 77.56339581036383%\n"
     ]
    }
   ],
   "source": [
    "knn = KNeighborsClassifier(n_neighbors=(x[y.index(min(y))]))\n",
    "knn.fit(X_train,y_train)\n",
    "pred = knn.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 77.23263506063948%\n"
     ]
    }
   ],
   "source": [
    "from sklearn import preprocessing\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(preprocessing.scale(test.drop('LumClass',axis=1)),test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "model = SVC()\n",
    "model.fit(X_train,y_train)\n",
    "predictions = model.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 77.48989342153621%\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(preprocessing.scale(test.drop('LumClass',axis=1)),test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "model = DecisionTreeClassifier()\n",
    "model.fit(X_train,y_train)\n",
    "predictions = model.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LumClass Filter II"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "       61810\n",
       "V      24473\n",
       "III    18137\n",
       "IV      5240\n",
       "II      1040\n",
       "VI        16\n",
       "I          9\n",
       "VII        1\n",
       "Name: LumClass, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['LumClass'] = test['SpType'].str.extract('(IV|V?I{0,3})$', expand=True)\n",
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "      <th>Absmag</th>\n",
       "      <th>LumClass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9.10</td>\n",
       "      <td>3.54</td>\n",
       "      <td>0.482</td>\n",
       "      <td>F5</td>\n",
       "      <td>1.845016</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9.27</td>\n",
       "      <td>21.90</td>\n",
       "      <td>0.999</td>\n",
       "      <td>K3V</td>\n",
       "      <td>5.972221</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6.61</td>\n",
       "      <td>2.81</td>\n",
       "      <td>-0.019</td>\n",
       "      <td>B9</td>\n",
       "      <td>-1.146468</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.06</td>\n",
       "      <td>7.75</td>\n",
       "      <td>0.370</td>\n",
       "      <td>F0V</td>\n",
       "      <td>2.506509</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8.55</td>\n",
       "      <td>2.87</td>\n",
       "      <td>0.902</td>\n",
       "      <td>G8III</td>\n",
       "      <td>0.839409</td>\n",
       "      <td>III</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Vmag    Plx     CI SpType    Absmag LumClass\n",
       "HIP                                              \n",
       "1    9.10   3.54  0.482     F5  1.845016         \n",
       "2    9.27  21.90  0.999    K3V  5.972221        V\n",
       "3    6.61   2.81 -0.019     B9 -1.146468         \n",
       "4    8.06   7.75  0.370    F0V  2.506509        V\n",
       "5    8.55   2.87  0.902  G8III  0.839409      III"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "      <th>Absmag</th>\n",
       "      <th>LumClass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16169</th>\n",
       "      <td>8.23</td>\n",
       "      <td>21.98</td>\n",
       "      <td>0.619</td>\n",
       "      <td>G2V-VI</td>\n",
       "      <td>4.940138</td>\n",
       "      <td>VI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16691</th>\n",
       "      <td>10.24</td>\n",
       "      <td>9.28</td>\n",
       "      <td>0.580</td>\n",
       "      <td>G8V-VI</td>\n",
       "      <td>5.077740</td>\n",
       "      <td>VI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21622</th>\n",
       "      <td>9.19</td>\n",
       "      <td>12.74</td>\n",
       "      <td>0.646</td>\n",
       "      <td>K3V-VI</td>\n",
       "      <td>4.715847</td>\n",
       "      <td>VI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22596</th>\n",
       "      <td>6.94</td>\n",
       "      <td>33.44</td>\n",
       "      <td>0.586</td>\n",
       "      <td>G1V-VI</td>\n",
       "      <td>4.561331</td>\n",
       "      <td>VI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36818</th>\n",
       "      <td>10.49</td>\n",
       "      <td>15.32</td>\n",
       "      <td>0.608</td>\n",
       "      <td>G8V-VI</td>\n",
       "      <td>6.416294</td>\n",
       "      <td>VI</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Vmag    Plx     CI  SpType    Absmag LumClass\n",
       "HIP                                                  \n",
       "16169   8.23  21.98  0.619  G2V-VI  4.940138       VI\n",
       "16691  10.24   9.28  0.580  G8V-VI  5.077740       VI\n",
       "21622   9.19  12.74  0.646  K3V-VI  4.715847       VI\n",
       "22596   6.94  33.44  0.586  G1V-VI  4.561331       VI\n",
       "36818  10.49  15.32  0.608  G8V-VI  6.416294       VI"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['LumClass']=='VI'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>SpType</th>\n",
       "      <th>Absmag</th>\n",
       "      <th>LumClass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>77982</th>\n",
       "      <td>5.11</td>\n",
       "      <td>1.09</td>\n",
       "      <td>1.108</td>\n",
       "      <td>G6VII</td>\n",
       "      <td>-4.702868</td>\n",
       "      <td>VII</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Vmag   Plx     CI SpType    Absmag LumClass\n",
       "HIP                                               \n",
       "77982  5.11  1.09  1.108  G6VII -4.702868      VII"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['LumClass']=='VII']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Vmag           8.23\n",
       "Plx           21.98\n",
       "CI            0.619\n",
       "SpType       G2V-VI\n",
       "Absmag      4.94014\n",
       "LumClass         VI\n",
       "Name: 16169, dtype: object"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.loc[16169]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Vmag          10.19\n",
       "Plx            4.11\n",
       "CI             2.57\n",
       "SpType        CVIIe\n",
       "Absmag      3.25921\n",
       "LumClass           \n",
       "Name: 45266, dtype: object"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.loc[45266]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vmag</th>\n",
       "      <th>Plx</th>\n",
       "      <th>CI</th>\n",
       "      <th>Absmag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>48916.000000</td>\n",
       "      <td>48916.000000</td>\n",
       "      <td>48916.000000</td>\n",
       "      <td>48916.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.993232</td>\n",
       "      <td>7.886124</td>\n",
       "      <td>0.696052</td>\n",
       "      <td>1.496683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.257770</td>\n",
       "      <td>11.592537</td>\n",
       "      <td>0.482726</td>\n",
       "      <td>2.219137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>-0.400000</td>\n",
       "      <td>-12.740000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.310000</td>\n",
       "      <td>2.890000</td>\n",
       "      <td>0.363000</td>\n",
       "      <td>0.161128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.210000</td>\n",
       "      <td>5.150000</td>\n",
       "      <td>0.615000</td>\n",
       "      <td>1.401488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.870000</td>\n",
       "      <td>9.220000</td>\n",
       "      <td>1.065000</td>\n",
       "      <td>3.025839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>12.560000</td>\n",
       "      <td>742.120000</td>\n",
       "      <td>3.440000</td>\n",
       "      <td>13.502564</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Vmag           Plx            CI        Absmag\n",
       "count  48916.000000  48916.000000  48916.000000  48916.000000\n",
       "mean       7.993232      7.886124      0.696052      1.496683\n",
       "std        1.257770     11.592537      0.482726      2.219137\n",
       "min       -0.010000      0.010000     -0.400000    -12.740000\n",
       "25%        7.310000      2.890000      0.363000      0.161128\n",
       "50%        8.210000      5.150000      0.615000      1.401488\n",
       "75%        8.870000      9.220000      1.065000      3.025839\n",
       "max       12.560000    742.120000      3.440000     13.502564"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = test.replace('', np.nan).dropna().drop('SpType', axis=1)\n",
    "test.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 48916 entries, 2 to 118322\n",
      "Data columns (total 5 columns):\n",
      "Vmag        48916 non-null float64\n",
      "Plx         48916 non-null float64\n",
      "CI          48916 non-null float64\n",
      "Absmag      48916 non-null float64\n",
      "LumClass    48916 non-null object\n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 2.2+ MB\n"
     ]
    }
   ],
   "source": [
    "test.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "V      24473\n",
       "III    18137\n",
       "IV      5240\n",
       "II      1040\n",
       "VI        16\n",
       "I          9\n",
       "VII        1\n",
       "Name: LumClass, dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    24473\n",
       "3    18137\n",
       "4     5240\n",
       "2     1040\n",
       "6       16\n",
       "1        9\n",
       "7        1\n",
       "Name: LumClass, dtype: int64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['LumClass'] = test['LumClass'].replace(['I','II','III','IV','V','VI','VII'],\n",
    "                     [1,2,3,4,5,6,7])\n",
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 48916 entries, 2 to 118322\n",
      "Data columns (total 5 columns):\n",
      "Vmag        48916 non-null float64\n",
      "Plx         48916 non-null float64\n",
      "CI          48916 non-null float64\n",
      "Absmag      48916 non-null float64\n",
      "LumClass    48916 non-null int64\n",
      "dtypes: float64(4), int64(1)\n",
      "memory usage: 2.2 MB\n"
     ]
    }
   ],
   "source": [
    "test.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN with n_neighbors = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 72.44480784955029%\n"
     ]
    }
   ],
   "source": [
    "scaler = StandardScaler()\n",
    "scaler.fit(test.drop('LumClass',axis=1))\n",
    "scaled_features = scaler.transform(test.drop('LumClass',axis=1))\n",
    "X_train, X_test, y_train, y_test = train_test_split(scaled_features,test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "knn = KNeighborsClassifier(n_neighbors=1)\n",
    "knn.fit(X_train,y_train)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN with optimal n_neighbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Error Rate')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x557c093780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "error_rate = []\n",
    "\n",
    "for i in range(1,100):\n",
    "    \n",
    "    knn = KNeighborsClassifier(n_neighbors=i)\n",
    "    knn.fit(X_train,y_train)\n",
    "    pred_i = knn.predict(X_test)\n",
    "    error_rate.append(np.mean(pred_i != y_test))\n",
    "\n",
    "x=range(1,100)\n",
    "y=error_rate\n",
    "\n",
    "plt.plot(x,y)\n",
    "plt.title('Error Rate vs. K Value')\n",
    "plt.xlabel('K')\n",
    "plt.ylabel('Error Rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "40"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x[y.index(min(y))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 81.35731807031888%\n"
     ]
    }
   ],
   "source": [
    "knn = KNeighborsClassifier(n_neighbors=(x[y.index(min(y))]))\n",
    "knn.fit(X_train,y_train)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(preprocessing.scale(test.drop('LumClass',axis=1)),test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "model = SVC()\n",
    "model.fit(X_train,y_train)\n",
    "predictions = model.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(preprocessing.scale(test.drop('LumClass',axis=1)),test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "model = DecisionTreeClassifier()\n",
    "model.fit(X_train,y_train)\n",
    "predictions = model.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LumClass Filter III"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['LumClass'] = test['SpType'].str.extract('([VI]+)', expand=True)\n",
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test[test['LumClass']=='VII']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.loc[16169]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.loc[45266]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = test.replace('', np.nan).dropna().drop('SpType', axis=1)\n",
    "test.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['LumClass'] = test['LumClass'].replace(['I','II','III','IV','V','VI','VII'],\n",
    "                     [1,2,3,4,5,6,7])\n",
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN with n_neighbors = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "scaler.fit(test.drop('LumClass',axis=1))\n",
    "scaled_features = scaler.transform(test.drop('LumClass',axis=1))\n",
    "X_train, X_test, y_train, y_test = train_test_split(scaled_features,test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "knn = KNeighborsClassifier(n_neighbors=1)\n",
    "knn.fit(X_train,y_train)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN with optimal n_neighbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "error_rate = []\n",
    "\n",
    "for i in range(1,100):\n",
    "    \n",
    "    knn = KNeighborsClassifier(n_neighbors=i)\n",
    "    knn.fit(X_train,y_train)\n",
    "    pred_i = knn.predict(X_test)\n",
    "    error_rate.append(np.mean(pred_i != y_test))\n",
    "\n",
    "x=range(1,100)\n",
    "y=error_rate\n",
    "\n",
    "plt.plot(x,y)\n",
    "plt.title('Error Rate vs. K Value')\n",
    "plt.xlabel('K')\n",
    "plt.ylabel('Error Rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x[y.index(min(y))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsClassifier(n_neighbors=(x[y.index(min(y))]))\n",
    "knn.fit(X_train,y_train)\n",
    "pred = knn.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(preprocessing.scale(test.drop('LumClass',axis=1)),test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "model = SVC()\n",
    "model.fit(X_train,y_train)\n",
    "predictions = model.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(preprocessing.scale(test.drop('LumClass',axis=1)),test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "model = DecisionTreeClassifier()\n",
    "model.fit(X_train,y_train)\n",
    "predictions = model.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LumClass Filter IV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = df['SpType'].map(lambda s: 'VII' in s)\n",
    "print (\"Class VII: white dwarfs, there are %d stars\" %sum(a))\n",
    "\n",
    "b = df['SpType'].map(lambda s: ('VI' in s) and ('VII' not in s))\n",
    "print (\"Class VI: subdwarfs, there are %d stars\" %sum(b))\n",
    "\n",
    "c = df['SpType'].map(lambda s: ('V' in s) and ('VI' not in s) and ('IV' not in s))\n",
    "print (\"Class V: main-sequence, there are %d stars\" %sum(c))\n",
    "\n",
    "d = df['SpType'].map(lambda s: 'IV' in s)\n",
    "print (\"Class IV: subgiants, there are %d stars\" %sum(d))\n",
    "\n",
    "e = df['SpType'].map(lambda s: 'III' in s)\n",
    "print (\"Class III: giants, there are %d stars\" %sum(e))\n",
    "\n",
    "f = df['SpType'].map(lambda s: ('II' in s) and ('III' not in s) and ('VII' not in s))\n",
    "print (\"Class II:  bright giants, there are %d stars\" %sum(f))\n",
    "\n",
    "g = df['SpType'].map(lambda s: ('I' in s) and ('II' not in s) and ('V' not in s))\n",
    "print (\"Class I: supergiants, there are %d stars\" %sum(g))\n",
    "\n",
    "print (\"Total: %d stars\" %(sum(a)+sum(b)+sum(c)+sum(d)+sum(e)+sum(f)+sum(g)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create columns for each Roman numeral, merge them into a new LumClass column then delete them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['VII'] = test['SpType'].apply(lambda s: s.replace(s, 'VII') in s).replace(True, 'VII').replace(False, np.nan)\n",
    "test['VI'] = test['SpType'].apply(lambda s: s.replace(s, 'VI') in s and ('VII' not in s)).replace(True, 'VI').replace(False, np.nan)\n",
    "test['V'] = test['SpType'].apply(lambda s: s.replace(s, 'V') in s and ('VI' not in s) and ('IV' not in s)).replace(True, 'V').replace(False, np.nan)\n",
    "test['IV'] = test['SpType'].apply(lambda s: s.replace(s, 'IV') in s ).replace(True, 'IV').replace(False, np.nan)\n",
    "test['III'] = test['SpType'].apply(lambda s: s.replace(s, 'III') in s ).replace(True, 'III').replace(False, np.nan)\n",
    "test['II'] = test['SpType'].apply(lambda s: s.replace(s, 'II') in s and ('III' not in s) and ('VII' not in s)).replace(True, 'II').replace(False, np.nan)\n",
    "test['I'] = test['SpType'].apply(lambda s: s.replace(s, 'I') in s and ('II' not in s) and ('V' not in s)).replace(True, 'I').replace(False, np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['LumClass'] = test['VII'].combine_first(test['VI']\n",
    "                                          ).combine_first(test['V']\n",
    "                                                         ).combine_first(test['IV']\n",
    "                                                                        ).combine_first(test['III']\n",
    "                                                                                       ).combine_first(test['II']\n",
    "                                                                                                      ).combine_first(test['I'])\n",
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = test.drop(['I','II','III','IV','V','VI','VII', 'SpType'], axis=1).dropna()\n",
    "test.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['LumClass'] = test['LumClass'].replace(['I','II','III','IV','V','VI','VII'],\n",
    "                     [1,2,3,4,5,6,7])\n",
    "test['LumClass'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN with n_neighbors = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "scaler.fit(test.drop('LumClass',axis=1))\n",
    "scaled_features = scaler.transform(test.drop('LumClass',axis=1))\n",
    "X_train, X_test, y_train, y_test = train_test_split(scaled_features,test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "knn = KNeighborsClassifier(n_neighbors=1)\n",
    "knn.fit(X_train,y_train)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "error_rate = []\n",
    "\n",
    "for i in range(1,100):\n",
    "    \n",
    "    knn = KNeighborsClassifier(n_neighbors=i)\n",
    "    knn.fit(X_train,y_train)\n",
    "    pred_i = knn.predict(X_test)\n",
    "    error_rate.append(np.mean(pred_i != y_test))\n",
    "\n",
    "x=range(1,100)\n",
    "y=error_rate\n",
    "\n",
    "plt.plot(x,y)\n",
    "plt.title('Error Rate vs. K Value')\n",
    "plt.xlabel('K')\n",
    "plt.ylabel('Error Rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x[y.index(min(y))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN with optimal n_neighbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsClassifier(n_neighbors=(x[y.index(min(y))]))\n",
    "knn.fit(X_train,y_train)\n",
    "pred = knn.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#pred = knn.predict(X_test)\n",
    "#print(classification_report(y_test,pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(preprocessing.scale(test.drop('LumClass',axis=1)),test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "model = SVC()\n",
    "model.fit(X_train,y_train)\n",
    "predictions = model.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(preprocessing.scale(test.drop('LumClass',axis=1)),test['LumClass'],\n",
    "                                                    test_size=0.2)\n",
    "model = DecisionTreeClassifier()\n",
    "model.fit(X_train,y_train)\n",
    "predictions = model.predict(X_test)\n",
    "accuracy = knn.score(X_test, y_test)\n",
    "print('Accuracy: '+str(accuracy*100)+'%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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